Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

WASHINGTON — Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by combining three properties of light — amplitude, phase and ...

Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...

When Global Positioning System (GPS) signals fail, drones can quickly lose their sense of place, especially in tunnels, dense ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

The study examines detection systems, cryptographic provenance frameworks, watermarking techniques, adversarial resilience, and governance mechanisms, presenting deepfake mitigation as a complex, ...

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

After completing a Master’s degree in biomedical engineering in Japan, Pelonomi Moiloa returned to South Africa to launch ...

When Global Positioning System (GPS) signals fail, drones can quickly lose their sense of place, especially in tunnels, dense ...

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.